A systematic review on fundus image-based diabetic retinopathy detection and grading: Current status and future directions
A Ikram, A Imran, J Li, A Alzubaidi, S Fahim… - IEEE …, 2024 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a prevalent outcome of diabetic mellitus. This causes lesions to
form on the retina, impairing eyesight. Most likely, blindness can be avoided if the DR …
form on the retina, impairing eyesight. Most likely, blindness can be avoided if the DR …
A novel computer-aided diagnostic system for early detection of diabetic retinopathy using 3D-OCT higher-order spatial appearance model
Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
damage to the retina and/or vision loss. In this study, an optical coherence tomography …
Detection of diabetic retinopathy using extracted 3D features from OCT images
Diabetic retinopathy (DR) is a major health problem that can lead to vision loss if not treated
early. In this study, a three-step system for DR detection utilizing optical coherence …
early. In this study, a three-step system for DR detection utilizing optical coherence …
Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images
This study proposes a novel computer assisted diagnostic (CAD) system for early diagnosis
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
Application of feature extraction for breast cancer using one order statistic, GLCM, GLRLM, and GLDM
The increasing number of breast cancer in recent years has attracted numerous researchers'
attention. Several techniques of Computer Aided Diagnosis System have been proposed as …
attention. Several techniques of Computer Aided Diagnosis System have been proposed as …
Automatic screening of diabetic retinopathy using fundus images and machine learning algorithms
Diabetic Retinopathy is a vision impairment caused by blood vessel degeneration in the
retina. It is becoming more widespread as it is linked to diabetes. Diabetic retinopathy can …
retina. It is becoming more widespread as it is linked to diabetes. Diabetic retinopathy can …
Retinal fundus image classification for diabetic retinopathy using SVM predictions
Diabetic Retinopathy (DR) is one of the leading causes of blindness in all age groups.
Inadequate blood supply to the retina, retinal vascular exudation, and intraocular …
Inadequate blood supply to the retina, retinal vascular exudation, and intraocular …
Image fundus classification system for diabetic retinopathy stage detection using hybrid CNN-DELM
DCR Novitasari, F Fatmawati, R Hendradi… - Big Data and Cognitive …, 2022 - mdpi.com
Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The
increase in the population diagnosed with DR can be prevented by screening and early …
increase in the population diagnosed with DR can be prevented by screening and early …
[HTML][HTML] Data-driven based four examinations in TCM: a survey
SUI Dong, L ZHANG, Y Fei - Digital Chinese Medicine, 2022 - Elsevier
Traditional Chinese medicine (TCM) diagnosis is a unique disease diagnosis method with
thousands of years of TCM theory and effective experience. Its thinking mode in the process …
thousands of years of TCM theory and effective experience. Its thinking mode in the process …
Automated diabetic retinopathy screening using deep learning
S Guefrachi, A Echtioui, H Hamam - Multimedia Tools and Applications, 2024 - Springer
The purpose of this research is to propose a new method for identifying diabetic retinopathy
using retinal fundus images. Currently, identifying diabetic retinopathy from computerized …
using retinal fundus images. Currently, identifying diabetic retinopathy from computerized …